检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4,137 篇 会议
38 册 图书
6 篇 期刊文献

馆藏范围

4,181 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,738 篇 工学
- 2,465 篇 计算机科学与技术...
- 2,042 篇 软件工程
- 616 篇 生物工程
- 587 篇 信息与通信工程
- 362 篇 生物医学工程（可授...
- 266 篇 控制科学与工程
- 216 篇 电气工程
- 211 篇 光学工程
- 148 篇 安全科学与工程
- 136 篇 机械工程
- 124 篇 电子科学与技术（可...
- 118 篇 化学工程与技术
- 107 篇 交通运输工程
- 91 篇 动力工程及工程热...
1,369 篇 理学
- 675 篇 数学
- 646 篇 生物学
- 332 篇 统计学（可授理学、...
- 307 篇 物理学
- 197 篇 系统科学
- 127 篇 化学
720 篇 管理学
- 393 篇 管理科学与工程(可...
- 388 篇 图书情报与档案管...
- 237 篇 工商管理
340 篇 医学
- 315 篇 临床医学
- 308 篇 基础医学(可授医学...
- 221 篇 药学(可授医学、理...
- 125 篇 公共卫生与预防医...
159 篇 法学
- 138 篇 社会学
157 篇 教育学
- 155 篇 教育学
141 篇 农学
- 140 篇 作物学
89 篇 经济学
9 篇 军事学
5 篇 文学

主题

526 篇 machine learning
243 篇 deep learning
117 篇 support vector m...
99 篇 adversarial mach...
92 篇 accuracy
92 篇 machine learning...
83 篇 forecasting
75 篇 convolutional ne...
70 篇 predictive model...
69 篇 feature extracti...
58 篇 artificial intel...
53 篇 students
51 篇 learning systems
48 篇 decision trees
48 篇 training
47 篇 reinforcement le...
47 篇 computational mo...
47 篇 computer vision
46 篇 internet of thin...
41 篇 neural networks

机构

46 篇 chitkara univers...
15 篇 graphic era hill...
10 篇 college of manag...
9 篇 graphic era deem...
8 篇 computer science...
8 篇 beijing universi...
7 篇 school of comput...
7 篇 school of comput...
7 篇 school of comput...
7 篇 department of in...
6 篇 università di ca...
6 篇 infn sezione di ...
6 篇 north-west unive...
6 篇 computer science...
6 篇 lovely professio...
6 篇 in2p3 lpc campus...
6 篇 kkr and ksr inst...
6 篇 institut univers...
6 篇 national centre ...
6 篇 greater bay area...

作者

18 篇 kukreja vinay
15 篇 mehta shiva
10 篇 william p.
8 篇 sharma vikrant
7 篇 mahamudul hasan
7 篇 shiva mehta
6 篇 chen a.
6 篇 benoit d.m.
6 篇 ferrara g.
6 篇 ardid m.
6 篇 calvo d.
6 篇 gagliardini s.
6 篇 eddymaoui a.
6 篇 kulikovskiy v.
6 篇 labalme m.
6 篇 gal t.
6 篇 bozza c.
6 篇 khatun a.
6 篇 kalekin o.
6 篇 huang f.

语言

3,930 篇 英文
250 篇 其他
34 篇 中文

检索条件"任意字段=Proceedings of the 2023 4th International Conference on Machine Learning and Computer Application"

共 4181 条记录，以下是1121-1130 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Evaluating Explainable AI (XAI) in Terms of User Gender and Educational Background 4th

Evaluating Explainable AI (XAI) in Terms of User Gender and ...

引用

4th international conference on Artificial Intelligence in HCI (AI-HCI) Held as Part of the 25th international conference on Human-computer Interaction (HCII)

作者： Reeder, Samuel Jensen, Joshua Ball, Robert Weber State Univ 3848 Harrison Blvd Ogden UT 84408 USA

ISBN: (纸本)9783031358906;9783031358913

Artificial intelligence (AI) and machine learning (ML) have become ubiquitous tools in the modern era. As more technologies become dependent on AI and ML, there is a greater push to understand how to use Explainable AI (XAI) to help human users understand the underlying decision processes of the technology. We report on a laboratory-controlled experiment focused on trust and understanding comparing different types of XAI explanations with a recommendation system while controlling for participant gender and educational background. We found statistically significant interactions of both gender and educational background. As a result, we conclude that there is not one particular way to show explanations that is best for all audiences because both gender and the person's education and professional background play a part in determining their trust and understanding in the system. In addition, although a number of publications have promoted visual word clouds as a way to show XAI, our participants rejected that type of explanation and preferred textual explanations.

关键词： Recommender Systems machine learning Artificial Intelligence Usability Testing Explainable AI

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Intelligent Edge Processing in the IoT Era, Edge-IoT 2022, and the 4th international conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022

3rd International Conference on Intelligent Edge Processing ...

引用

3rd international conference on Intelligent Edge Processing in the IoT Era, Edge-IoT 2022, and the 4th international conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022

ISBN: (纸本)9783031359811

the proceedings contain 12 papers. the special focus in this conference is on Intelligent Edge Processing in the IoT Era, and Smart Governance for Sustainable Smart Cities. the topics include: Continuous Measurement of Air Pollutant Concentrations in a Roadway Tunnel in Southern Italy;rating Urban Transport Services Quality Using a Sentiment Analysis Approach;edge Computing with Low-Cost Cameras for Object Detection in Smart Farming;Evaluating Maximum Operating Distance in COTS RFID TAGS for Smart Manufacturing;philippine Stock Direction Forecasting Utilizing Technical, Fundamental, and News Sentiment Data;ioT Architectures for Indoor Radon Management: A Prospective Analysis;adversarial Training for Better Robustness;integrating computer Vision and Crowd Sourcing to Infer Drug Use on Streets: A Case Study with 311 Data in San Francisco;machine learning Approach to Crisis Management Exercise Analysis: A Case Study in SURE Project;quantitative Evaluation of Saudi E-government Websites Using a Web Structure Mining Methodology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Support Vector machines Principles and Actually Example 4

Support Vector Machines Principles and Actually Example

引用

4th international conference on machine learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2023

作者： Chen, Xingyu Yin, Zewen Tian, Hao College of Science China Agricultural University Beijing100083 China International College China Agricultural University Beijing100083 China

With the development of big data technology, it is necessary to quickly and accurately mine the information contained in data. In this paper, we study the selection of kernel function types and the selection of kernel function parameters for support vector machines under classification and regression problems, and experimentally verify their regression prediction performance and classification performance on scientific datasets. Firstly, the scientific data mining model is constructed, the model design principle is clarified, and then linear kernel function, Gaussian kernel function, and polynomial kernel function are selected for the comparison experiments, and the performance classification and regression prediction of the data are finally obtained. © 2024 the Authors.

关键词： Support vector regression

来源：评论

学校读者我要写书评

暂无评论

Hybrid Quantum machine learning Assisted Classification of COVID-19 from Computed Tomography Scans 4

Hybrid Quantum Machine Learning Assisted Classification of C...

引用

4th IEEE international conference on Quantum Computing and Engineering, QCE 2023

作者： Sünkel, Leo Martyniuk, Darya Reichwald, Julia J. Morariu, Andrei Seggoju, Raja Havish Altmann, Philipp Roch, Christoph Paschke, Adrian Lmu Munich Germany Fraunhofer Fokus Germany Smart Reporting GmbH Germany Freie Universitat Berlin Fraunhofer Fokus Germany

ISBN: (纸本)9798350343236

Practical quantum computing (QC) is still in its in-fancy and problems considered are usually fairly small, especially in quantum machine learning when compared to its classical counterpart. Image processing applications in particular require models that are able to handle a large amount of features, and while classical approaches can easily tackle this, it is a major challenge and a cause for harsh restrictions in contemporary QC. In this paper, we apply a hybrid quantum machine learning approach to a practically relevant problem with real world-data. that is, we apply hybrid quantum transfer learning to an image processing task in the field of medical image processing. More specifically, we classify large CT-scans of the lung into COVID-19, CAP, or Normal. We discuss quantum image embedding as well as hybrid quantum machine learning and evaluate several approaches to quantum transfer learning with various quantum circuits and embedding techniques. © 2023 IEEE.

关键词： Medical applications

来源：评论

学校读者我要写书评

暂无评论

Towards Reproducible Research in machine learning via Blockchain 4th

Towards Reproducible Research in Machine Learning via Bloc...

引用

4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

作者： Filatovas, Ernestas Stripinis, Linas Orts, Francisco Paulavičius, Remigijus Vilnius University Institute of Data Science and Digital Technologies Akademijos 4 Vilnius08663 Lithuania

ISBN: (纸本)9783031812460

Artificial Intelligence, particularly in machine learning and related research areas such as Operational Research, currently faces a reproducibility crisis. Researchers encounter difficulties reproducing key results due to lacking critical details, including the disconnection between publications and the associated codes, data, and parameter settings. Solutions that improve code accessibility, data provenance tracking, research transparency, auditing of obtained results, and trust can significantly accelerate algorithm and model development, validation, and transition into real-world applications. Blockchain technology, with its features of decentralization, data immutability, cryptographic hash functions, and consensus algorithms, provides a promising avenue for developing such solutions. By leveraging the distributed ledger working over a peer-to-peer network, a secure and auditable infrastructure can be established for sharing and controlling data in a trusted manner. Our analysis examines the current state-of-the-art blockchain-based proposals that target reproducibility issues in the machine learning domain. Based on the analysis of existing solutions, we propose a high-level architecture and main modules for developing a blockchain-based platform that enhances reproducible research in machine learning and can be adapted to other Artificial Intelligence domains. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Distributed ledger

来源：评论

学校读者我要写书评

暂无评论

Scalable AR Integration Pipeline for Immersive Textbook learning Experience 4

Scalable AR Integration Pipeline for Immersive Textbook Lear...

引用

4th international conference on Electronics and Sustainable Communication Systems, ICESC 2023

作者： Selvakumaran, Kumar Kishore, Shreya Narayanasamy, Appsara Radhakrishnan, Ashwin Malarvel, Muthukumaran Hindustan Institute of Technology and Science Department of Computer Science Chennai India

ISBN: (纸本)9798350300093

the availability of learning tools in schools that are accessible to low-income households is generally very limited when compared to most private schools that cater to the well-off masses. Contrarily, the accessibility, and usage of smartphones in the low-income population is surprisingly comparable to that of the medium and high-income populations due to the presence of affordable smartphones. Hence, enhancing the learning experience of children from low-income households through resourceful strategies that utilize smartphones can counter their school's deficit of learning tools. One such strategy is proposed by this study, where an immersive and interactive learning experience can be created through the integration of Augmented-Reality based visualizations in textbooks that make concepts more appealing and clear. this approach is ideal for low-budget schools as it does not require any setup expenses from students or the school. this pipeline made scalability a key priority in order to accommodate a vast number of AR experiences that can cover an entire curriculum composed of different subjects. © 2023 IEEE.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Aggregating Human Domain Knowledge for Feature Ranking 4th

Aggregating Human Domain Knowledge for Feature Ranking

引用

4th international conference on Artificial Intelligence in HCI (AI-HCI) Held as Part of the 25th international conference on Human-computer Interaction (HCII)

作者： Kornowicz, Jaroslaw thommes, Kirsten Paderborn Univ Warburger Str 100 D-33098 Paderborn Germany

ISBN: (纸本)9783031358906;9783031358913

Human integration in machine learning can take place in various forms and stages. the current study examines the process of feature selection, with a specific focus on eliciting and aggregating feature rankings by human subjects. the elicitation is guided by the principles of expert judgment elicitation, a field of study that has investigated the aggregation of multiple opinions for the purpose of mitigating biases and enhancing accuracy. An online experiment was conducted with 234 participants to evaluate the impact of different elicitation and aggregation methods, namely behavioral aggregation, mathematical aggregation, and the Delphi method, compared to individual expert opinions, on feature ranking accuracy. the results indicate that the aggregation method significantly affects the rankings, with behavioral aggregation having a more significant impact than mean and median aggregation. On the other hand, the Delphi method had minimal impact on the rankings compared to individual rankings.

关键词： machine learning Feature Selection Human-in-the-loop Expert Judgement Elicitation

来源：评论

学校读者我要写书评

暂无评论

A Method of Protecting Sensitive Information in Intangible Cultural Heritage Communication Network Based on machine learning 1

引用

4th international conference on machine learning for Cyber Security, ML4CS 2022

作者： Zhang, Xiaoyu Jin, Ye Wuxi Vocational Institute of Commerce Wuxi214153 China

ISBN: (数字)9783031200991

ISBN: (纸本)9783031200984

In order to accurately identify the sensitive information in the intangible cultural heritage communication network and realize the reasonable protection of intangible cultural heritage data, a method for protecting the sensitive information in the intangible cultural heritage communication network based on machine learning is proposed. With the support of machine learning algorithm, the distance measurement results are solved, and then the specific values of compressed characteristic indexes are calculated by establishing a random measurement matrix to complete the tracking and processing of the target parameters of intangible cultural heritage. On this basis, according to the encryption processing results of sensitive information, the implementation standard of OSBE protocol is established, and then with the help of the formed sensitive information processing process, the effective protection of sensitive information of intangible cultural heritage communication network is realized. the results of comparative experiments show that under the effect of machine learning algorithm, the recognition accuracy of the network host for the sensitive information of intangible cultural heritage has significantly improved, and it really has strong practical value in the reasonable protection of intangible cultural heritage data parameters. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： machine learning

来源：评论

学校读者我要写书评

暂无评论

4th international conference on machine learning for Cyber Security, ML4CS 2022

4th International Conference on Machine Learning for Cyber S...

引用

4th international conference on machine learning for Cyber Security, ML4CS 2022

ISBN: (纸本)9783031200984

the proceedings contain 152 papers. the special focus in this conference is on machine learning for Cyber Security. the topics include: machine learning Based Security Situation Awareness Method for Network Data Transmission Process;multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem;High Voltage Power Communication Network Security Early Warning and Monitoring System Based on HMAC Algorithm;Large Scale Network Intrusion Detection Model Based on FS Feature Selection;Privacy Preserving CSI Fingerprint Device-Free Localization;Research on Intelligent Detection Method of Automotive Network Data Security Based on FlexRay/CAN Gateway;adversarial Attack and Defense on Natural Language Processing in Deep learning: A Survey and Perspective;a Novel Security Scheme for Mobile Healthcare in Digital Twin;Construction of Security Risk Prediction Model for Wireless Transmission of Multi Axis NC Machining Data;spiking Neural Networks Subject to Adversarial Attacks in Spiking Domain;Diverse Web APIs Recommendation with Privacy-preservation for Mashup Development;network Security Evaluation Method of College Freshmen Career Counseling Service Based on machine learning;FedTD: Efficiently Share Telemedicine Data with Federated Distillation learning;increase Channel Attention Based on Unet++ Architecture for Medical Images;distributed Power Load Missing Value Forecasting with Privacy Protection;A Novel Blockchain-MEC-Based Near-Domain Medical Resource Sharing Model;differentially Private Generative Model with Ratio-Based Gradient Clipping;differential Privacy Protection Algorithm for Data Clustering Center;improved Kmeans Algorithm Based on Privacy Protection;symmetry Structured Analysis Sparse Coding for Key Frame Extraction;data Reconstruction from Gradient Updates in Federated learning;natural Backdoor Attacks on Speech Recognition Models;boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Co

关键词：

来源：评论

学校读者我要写书评

暂无评论

2023 28th international computer conference, computer Society of Iran, CSICC 2023

2023 28th International Computer Conference, Computer Societ...

引用

28th international computer conference, computer Society of Iran, CSICC 2023

ISBN: (纸本)9798350338195

the proceedings contain 40 papers. the topics discussed include: analyzing the use of auditory filter models for making interpretable convolutional neural networks for speaker identification;leveraging model driven techniques for designing Web-GIS systems;multi-objective optimization for neural network structure;a data-centric approach for improving adversarial training through the lens of out-of-distribution detection;biological signals for diagnosing sleep stages using machine learning models;SBSN: harvesting stable body sensor node by providing an energy efficient adaptive sampling method;an approximate method for spatial task allocation in partially observable environments;an ontology-based approach to facilitate semantic interoperability of context-aware systems;predicting the load capacity of 4G cellular networks with deep learning;predicting users' demographic features based on searched queries and installed apps and games;fashion compatibility learning via triplet-Swin transformer;and a question summarization method based-on deep learning in Persian language.

关键词：

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共419页 << < 109 110 111 112 113 114 115 116 117 118 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：